Practical guide to implementing gang scheduling and workload-aware policies in Kubernetes 1.36 for batch processing and AI training workloads. Learn how to optimize resource allocation and reduce costs for coordinated workloads in production environments.
How to leverage Kubernetes 1.36's workload-aware scheduling improvements for AI/ML and batch workloads, including gang scheduling configuration and resource optimization strategies for production environments.
How to leverage Kubernetes 1.36's new pod-level resource managers and in-place vertical scaling to optimize infrastructure costs and performance for resource-intensive workloads. Practical implementation guide for platform engineering teams.
How to leverage Kubernetes 1.36's new pod-level resource managers and in-place vertical scaling to optimize infrastructure costs and performance for resource-intensive workloads.
How to implement comprehensive software supply chain tracking using Open Component Model that captures dependencies, deployment artifacts, signatures, and version constraints across distributed systems.
A practical framework for evaluating and migrating from deprecated ingress controllers to Gateway API or Envoy Gateway, including risk assessment and zero-downtime migration patterns.
How modern software supply chains use component models to track dependencies, artifacts, and metadata across distributed systems, moving beyond traditional SBOMs to comprehensive delivery tracking.
How to implement comprehensive software supply chain tracking using the Open Component Model that captures dependencies, deployment artifacts, configurations, and runtime bindings across multi-repository environments.
A practical guide to securing AI workloads on Kubernetes, covering threat modeling, sandboxing, and compliance considerations for production LLM deployments. Essential security patterns for running AI agents safely in regulated environments.
How implementing digest support for component references enables cryptographic verification of software artifacts throughout the delivery pipeline. Moving beyond traditional version-based tracking to content-addressable security patterns.
Practical patterns for using Go generics in production systems, covering type constraints, performance implications, and real-world architectural decisions that scale.
Learn how component digests enable cryptographic verification of software artifacts throughout the delivery pipeline, moving beyond version-based tracking to content-addressable security. Practical implementation patterns for enterprise software supply chain protection.
Practical strategies for reducing Kubernetes infrastructure costs through resource optimization, rightsizing, and automated scaling patterns that work in production environments.
Master React performance optimization through systematic profiling, efficient rendering patterns, and smart bundle splitting strategies for production applications. Learn practical techniques that actually move the performance needle.
Comprehensive guide to testing TypeScript applications with practical patterns for unit tests, integration testing, and end-to-end validation in production environments.
Learn practical strategies for running database migrations in production without downtime, including blue-green deployments, backward compatibility patterns, and rollback strategies.
A practical guide to implementing observability in cloud-native applications, covering the three pillars and real-world monitoring strategies that help teams debug faster and prevent outages.
Practical database security patterns for modern applications - encryption, access controls, audit logging, and compliance automation in Kubernetes environments.
A comprehensive analysis of Go web frameworks performance in production environments, covering Gin, Echo, Fiber, and Chi with real-world benchmarks and architectural considerations.
A comprehensive analysis of Go web frameworks performance in production environments, covering Gin, Echo, Fiber, and Chi with real-world benchmarks and architectural considerations.
A practical comparison of Go web frameworks based on real production workloads, covering performance benchmarks, memory usage, and architectural decisions for scalable APIs.
Advanced Go error handling patterns for production APIs including structured errors, error wrapping, and observability integration. Learn how to build resilient APIs with proper error propagation and debugging capabilities.
Learn advanced Go error handling patterns for distributed systems, including circuit breakers, retries, and graceful degradation. Build microservices that handle failures elegantly and maintain system reliability.
Learn advanced Go error handling patterns for distributed systems including circuit breakers, retries, and graceful degradation. Practical examples for building resilient microservices that handle failures elegantly.
Learn advanced error handling patterns in Go for building resilient microservices. Covers error wrapping, context propagation, and distributed tracing integration.
Learn proven API versioning strategies including URL versioning, header-based versioning, and semantic versioning. Practical examples for REST, GraphQL, and gRPC APIs with migration patterns that minimize breaking changes.
Twelve-factor apps, service meshes, observability, and cost control. What cloud-native actually means beyond the buzzword — and how to get there without rewriting everything.
Explore advanced Go error handling patterns for building robust production APIs, including structured errors, error wrapping, and observability integration.
Islands architecture, signals, server components, and Core Web Vitals. A practical guide to frontend architecture decisions in 2026 — beyond framework hype.
How to set up GitOps with ArgoCD on Kubernetes. Repository structure, Application manifests, sync policies, secrets management, and multi-environment promotion that scales.
Our picks from the KubeCon + CloudNativeCon Europe 2026 schedule. AI agent security, Airbnb's zero-downtime migration, Helm 4, Gateway API, Rust vs Go, and more.
How to structure Go microservices for production. Service boundaries, communication patterns, error propagation, and the tooling that keeps it manageable.
The testing pyramid is 15 years old. Here's how to build a test automation strategy for modern microservice architectures — from unit tests to E2E, with practical tooling choices and CI integration.
When and why TypeScript is a strong choice for backend services. Type safety, ecosystem, fullstack sharing, and where it falls short.
How contract testing prevents the integration failures that unit tests miss. A practical guide to Pact, provider-driven contracts, and fitting contract tests into your CI pipeline.
How to build reliable CI/CD pipelines with GitHub Actions. Caching, matrix builds, reusable workflows, security hardening, and deployment patterns that actually work.
How mid-sized companies migrate workloads to the cloud without blowing budgets. Strategy, sequencing, pitfalls, and what it actually costs.
Multi-stage builds, image security scanning, size optimization, and local dev workflows. The practical guide to containers that tutorials skip.
93% of developers use AI tools. Actual productivity gains? Roughly 10%. The bottleneck isn't the code — it's everything around it. Here's what engineering leaders should focus on instead.
A practical guide to choosing between REST, gRPC, and GraphQL. Versioning strategies, error handling, and when each pattern actually makes sense.
Legacy systems drain budgets and block AI adoption. A pragmatic modernization roadmap for engineering leaders who need results, not slide decks.
The European Commission's AI Omnibus proposal pushes high-risk AI rules to late 2027. Here's why smart teams won't slow down — and what to do with the extra runway.
KubeCon Amsterdam is three weeks out. Here's what matters beyond the keynote hype — from AI workloads on Kubernetes to the security-observability convergence and the platform engineering reckoning.
90% of organizations have a platform initiative. Most are failing. The problem isn't tooling — it's execution, adoption, and measuring what matters.
Why we chose Go as our primary backend language. Concurrency, simplicity, deployment, and the hiring factor.
Pushing back on the 'microservices everything' trend. When monoliths work, when to split, and why pragmatic architecture beats dogma.
The real challenges of running K8s in prod. Operator fatigue, upgrade nightmares, monitoring gaps, and the cost surprises that hit after the honeymoon phase.
Cloud isn't just for enterprises. A pragmatic guide for mid-sized companies ready to take the first step.
What's broken in IT consulting — and why we do things differently. An honest manifesto.
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